My research asks how changes in neural function affect behaviour and reveal opportunities for treatment. It connects basic neuroscience with disease modelling and drug discovery.

Disease models and drug discovery

We use genetically defined zebrafish models to study the effects of disease-associated genes. Automated behavioural analysis allows us to measure those effects and test compounds that may modify them. Electrophysiology and molecular profiling help us understand the biological changes behind the behaviour.

Our work includes models relevant to ADHD and schizophrenia, alongside earlier studies of other neurological disorders. We compare responses with established treatments and use complementary models and human evidence to assess which findings warrant further investigation.

Through 3Z Pharmaceuticals, we use this approach to build clinically relevant, patentable assets with a practical development path.

ADHD and calcium channel biology

Our ADHD research began with behavioural screening in an adgrl3.1 mutant zebrafish model. This work identified compounds that reduced hyperactivity, including amlodipine. Subsequent studies combined evidence from zebrafish and rats with human genetic analyses and observational data.

The findings support further investigation of amlodipine and L-type calcium channel biology in ADHD. They provide a basis for clinical testing; efficacy in people with ADHD remains to be established.

The development programme is now focused on S-amlodipine, also known as levamlodipine, and is being advanced through LTCC.

Sleep and neural function

My early research examined the neural mechanisms of sleep and its development. This work continues to inform my interest in neuronal excitability and the relationship between brain activity and behaviour.

Cetacean neuroanatomy

Alongside drug discovery, I continue collaborative studies of whale and dolphin brains. We examine how their structure compares with that of other mammals, including the hippocampus and neural systems involved in sleep and arousal. This work addresses basic questions about brain organisation and evolution.

Computational methods and experimental testing

I am interested in using computational methods to analyse behavioural and molecular data and improve the choice of experiments. The approach I want to develop links prediction with testing: models nominate candidates, experiments test them, and results improve subsequent predictions.

Neurotechnology education

At Reykjavík University, I connect research with teaching in neuroscience and neurotechnology. I also contribute to laboratory teaching through the NeurotechEU EMN master’s pathway.

Students and interns

Students and interns regularly contribute to all our research programmes. Their projects span disease modelling, behavioural measurement, electrophysiology, molecular and computational analysis, and comparative neuroanatomy.

For research collaborations, student projects or internship enquiries, contact karlsson@ru.is.